Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AlekseiUL/sprut-agent-kit --skill presentationgit clone --depth 1 https://github.com/AlekseiUL/sprut-agent-kitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/alekseiul/sprut-agent-kit/presentation)<a href="https://agentmods.dev/skills/alekseiul/sprut-agent-kit/presentation"><img src="https://agentmods.dev/badge/skills/alekseiul/sprut-agent-kit/presentation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/alekseiul/sprut-agent-kit/presentation"><img src="https://agentmods.dev/badge/skills/alekseiul/sprut-agent-kit/presentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.00645 |
| Opus 5.5 | $0.00022 | $0.00258 |
| Sonnet 5.5 | $0.00011 | $0.00129 |
| Haiku 4.5 | $0.00006 | $0.00064 |
Grade A, and why
presentation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Presentation Creator
Create professional presentations from text or outline using Marp CLI.
Output Formats
- PDF — универсальный, для печати и шаринга
- PPTX — PowerPoint, можно редактировать
- HTML — интерактивные слайды в браузере
Workflow
Step 1: Create Markdown slides
Create .md file with Marp syntax:
---
marp: true
theme: default
paginate: true
---
# Заголовок презентации
Подзаголовок или автор
---
## Слайд 2
- Пункт 1
- Пункт 2
- Пункт 3
---
## Слайд с изображением
Текст слева от картинки
---
## Код
```python
print("Hello, World!")
Спасибо за внимание!
Контакты: [email protected]
### Step 2: Export to desired format
```bash
# PDF (default, best quality)
marp presentation.md -o ~/Desktop/presentation.pdf
# PowerPoint
marp presentation.md -o ~/Desktop/presentation.pptx
# HTML (single file)
marp presentation.md -o ~/Desktop/presentation.html
Marp Syntax Quick Reference
Slide separator
---
Background images
 # full background
 # left split
 # right 40%
 # fit inside
 # cover (crop)
Text styling
**bold** *italic* ~~strikethrough~~
`inline code`
Themes
Available: default, gaia, uncover
Set in frontmatter:
---
marp: true
theme: gaia
class: lead
---
Colors & classes
<!-- _class: lead --> # centered title slide
<!-- _backgroundColor: #123 -->
<!-- _color: white -->
Script Usage
# Create presentation
{baseDir}/scripts/create-presentation.sh "Title" "outline.txt" ~/Desktop/output.pdf
# Or manually
marp slides.md -o output.pdf --allow-local-files
Tips
- Keep slides minimal: 1 idea per slide
- Use images for visual impact
- Max 6 bullet points per slide
- Large fonts (Marp defaults are good)
- For PDF:
--pdf-notesincludes speaker notes
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 135 lines · 56 tokens per session scan A a5b0ff0a73d8
presentation is a skill published in the GitHub repository AlekseiUL/sprut-agent-kit (65 stars, last pushed 4mo ago), licensed MIT. It adds 56 tokens to every session and 645 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
convert-documents-to-markdown
Convert an attached Word document, presentation, spreadsheet, OpenDocument file, RTF, EPUB, CSV, or text-based PDF into local Markdown. Use when a message supplies a local attachment path that must be read without uploading it to an external parser.
sn-ppt-dazzle
A workflow for turning an approved presentation outline into a single HTML deck that runs in a web browser. It creates a 1280-by-720 layout with animated backgrounds, page transitions, and keyboard navigation.
sn-ppt-entry
Use when a user asks to create a presentation, slide deck, PPT, or PPTX from a query and optional files, or to resume an existing SenseNova presentation task.
sn-da-excel-workflow
A step-by-step workflow for analysing Excel workbooks with multiple sheets. It covers reading data, cleaning it, filtering and combining results, and exporting reports, with a separate strategy for large files.
sn-da-large-file-analysis
A workflow for analyzing very large Excel datasets, especially files with at least 10,000 rows. It uses lower-memory reading, streaming through rows, splitting work into chunks, and converting data to Parquet, a column-based data format suited to repeated analysis.
ppt-analysis
A parser for PowerPoint presentations in .pptx or older .ppt format that extracts their contents and flags slides needing image-based inspection.